Robust cost function for designing chamfer masks

This submission implements a robust cost function for designing chamfer masks

In this submission, we have implemented a robust optimization rule (cost function) that helps to design optimal chamfer weights for sequential distance transforms. The proposed cost function, called RLog, takes the absolute logarithm of the ratio between the measured and reference distance values. Also, the submission includes functions to generate integer-valued chamfer masks.
The corresponding paper for this submission is currently under peer-review.